Airborne LiDAR: A New Source of Traffic Flow Data
Light Detection and Ranging (LiDAR) (or airborne laser scanning) systems became a dominant player in high-precision spatial data acquisition to efficiently create Digital Elevation Model/Digital Surface Model (DEM/DSM) in the late 90's. With increasing point density, new systems are now able to support object extraction, such as extracting buildings and roads, from LiDAR data. The novel concept of this project was to use LiDAR data for traffic flow estimates. In a sense, extracting vehicles over transportation corridors represents the next step in complexity by adding the temporal component to the LiDAR data feature extraction process. The facts are that vehicles are moving at highway speeds and the scanning acquisition mode of the LiDAR certainly poses a serious challenge for the data extraction process. The Ohio State University (OSU) developed method and its implementation, the I_FLOW program, have demonstrated that LiDAR data contain valuable information to support vehicle extraction, including vehicle grouping and localizations. The classification performance showed strong evidence that the major vehicle categories can be efficiently separated. The I_FLOW program is ready for deployment.
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Corporate Authors:
Ohio State University, Columbus
Geodetic Science Center for Mapping, 1216 Kinnear Road
Columbus, OH United States 43212Ohio Department of Transportation
1980 West Broad Street
Columbus, OH United States 43223Federal Highway Administration
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Grejner-Brzezinska, Dorota A
- Toth, Charles K
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0000-0001-9461-4887
- McCord, Mark
- Publication Date: 2005-10
Language
- English
Media Info
- Media Type: Print
- Features: Appendices; Bibliography; Figures; Photos; Tables;
- Pagination: 79p
Subject/Index Terms
- TRT Terms: Digital mapping; Estimating; Laser radar; Roads; Speed; Structures; Topography; Traffic flow; Vehicle classification; Vehicles
- Uncontrolled Terms: Data extraction; Feature extraction; Features (Spatial data)
- Subject Areas: Bridges and other structures; Highways; Operations and Traffic Management; Vehicles and Equipment; I71: Traffic Theory;
Filing Info
- Accession Number: 01019632
- Record Type: Publication
- Report/Paper Numbers: FHWA/OH-2005/14
- Contract Numbers: 134145
- Files: NTL, TRIS, ATRI, USDOT, STATEDOT
- Created Date: Jan 13 2006 9:38AM